Mapping Plasma Biomarker Progression Against the Amyloid Clock

Abstract Background Plasma biomarkers are potential candidates for screening patients for anti‐amyloid therapies. Although early changes have been reported, the duration of Aβ‐accumulation afetr which these changes become abnormal enough to identify Aβ+ individuals has yet to be determined. Method Data were acquired from a cohort assessed at the Memory Clinic, Karolinska University Hospital, Stockholm, Sweden ( N = 132). Plasma biomarkers (pTau‐isoforms, GFAP) were analysed with NULISAseq™ CNS. Buildong up on the parameters of a model of Aβ‐accumulation estimated by Schindler et al., 2021, we calculated the time required (AmyloidTime) to reach a specific brain amyloid load on PET. We then estimated AmyloidTime linked with a threshold of biomarker becoming significantly abnormal to detect Aβ‐positivity with 90% sensitivity. By subtracting AmyloidTime from each patient's age, we estimated their Aβ‐accumulation onset ('age‐of‐Aβ‐onset'), identifying young accumulators as those with age‐of‐Aβ‐onset under 50 years, which would correspond to a minimum of 15 years of Aβ‐accumulation at age 65. Result The AmyloidTime corresponding to 90% sensitivity for detecting Aβ+ with the visual read was 2 years prior to the tipping point in Aβ‐accumulation. The AmyloidTime required for plasma biomarkers become abnormal enough to provide 90% sensitivity in identifying Aβ+ PET scans were: 6.7 years for pTau217, 8.4 – for pTau231,10 ‐ for GFAP, 10.6 ‐ for pTau181 (Figure 1). Plasma pTau217, pTau231, pTau181 levels, but not GFAP, were significantly higher in young Aβ‐accumulators, even after adjusting for the effect of Aβ‐load or ‐Time (Figure 2). Conclusion Plasma pTau217 enables 90% sensitivity in identifying Aβ+ individuals at 6.7 years after reaching the point of accelerated Aβ‐accumulation. Younger Aβ‐accumulators showed higher levels of pTau isoforms in plasma, suggesting an exacerbation of tau pathology in these individuals, which is consistent with a more aggressive pathology in this age group.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_106593
Primary Topic
Alzheimer's disease research and treatments
Type
article
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article

Mapping Plasma Biomarker Progression Against the Amyloid Clock

Konstantinos Chiotis, Marco Bucci, Irina Savitcheva, Kaj Blennow et al.
Alzheimer s & Dementia
Alzheimer's disease research and treatments
article

Mapping Plasma Biomarker Progression Against the Amyloid Clock

Konstantinos Chiotis, Marco Bucci, Irina Savitcheva, Kaj Blennow, Marina Blūma, Agneta Nordberg, Kübra Tan, Wiebke Traichel, Guglielmo Di Molfetta, Anna Matton, Henrik Zetterberg, Ilaria Pola, Miia Kivipelto, Nicholas J. Ashton, Andrea L. Benedet
article en

Abstract

Abstract Background Plasma biomarkers are potential candidates for screening patients for anti‐amyloid therapies. Although early changes have been reported, the duration of Aβ‐accumulation afetr which these changes become abnormal enough to identify Aβ+ individuals has yet to be determined. Method Data were acquired from a cohort assessed at the Memory Clinic, Karolinska University Hospital, Stockholm, Sweden ( N = 132). Plasma biomarkers (pTau‐isoforms, GFAP) were analysed with NULISAseq™ CNS. Buildong up on the parameters of a model of Aβ‐accumulation estimated by Schindler et al., 2021, we calculated the time required (AmyloidTime) to reach a specific brain amyloid load on PET. We then estimated AmyloidTime linked with a threshold of biomarker becoming significantly abnormal to detect Aβ‐positivity with 90% sensitivity. By subtracting AmyloidTime from each patient's age, we estimated their Aβ‐accumulation onset ('age‐of‐Aβ‐onset'), identifying young accumulators as those with age‐of‐Aβ‐onset under 50 years, which would correspond to a minimum of 15 years of Aβ‐accumulation at age 65. Result The AmyloidTime corresponding to 90% sensitivity for detecting Aβ+ with the visual read was 2 years prior to the tipping point in Aβ‐accumulation. The AmyloidTime required for plasma biomarkers become abnormal enough to provide 90% sensitivity in identifying Aβ+ PET scans were: 6.7 years for pTau217, 8.4 – for pTau231,10 ‐ for GFAP, 10.6 ‐ for pTau181 (Figure 1). Plasma pTau217, pTau231, pTau181 levels, but not GFAP, were significantly higher in young Aβ‐accumulators, even after adjusting for the effect of Aβ‐load or ‐Time (Figure 2). Conclusion Plasma pTau217 enables 90% sensitivity in identifying Aβ+ individuals at 6.7 years after reaching the point of accelerated Aβ‐accumulation. Younger Aβ‐accumulators showed higher levels of pTau isoforms in plasma, suggesting an exacerbation of tau pathology in these individuals, which is consistent with a more aggressive pathology in this age group.

Alzheimer s & DementiaVol. 21(S2)
Karolinska University Hospital (SE), Karolinska Institutet (SE), Profu (Sweden) (SE), University of Gothenburg (SE)
Openalex Percentile: Top 31%
Alzheimer's disease research and treatments
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